Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100074
Funder
Australian Research Council
Funding Amount
$580,000.00
Summary
Data Co-operative Platform for Social Impact and Wellbeing. The Data Cooperative (Co-Op) Platform for Social Impact and Wellbeing aims to make data-driven research and decision-making in the social sciences more effective and efficient by developing infrastructure to support data integration and harmonisation of diverse data resources. Social research relies on a vast array of data types and sources, both open and confidential, making data analysis complex and time-consuming. This project will d ....Data Co-operative Platform for Social Impact and Wellbeing. The Data Cooperative (Co-Op) Platform for Social Impact and Wellbeing aims to make data-driven research and decision-making in the social sciences more effective and efficient by developing infrastructure to support data integration and harmonisation of diverse data resources. Social research relies on a vast array of data types and sources, both open and confidential, making data analysis complex and time-consuming. This project will drive innovation across a range of critical social issues that require integrated data for research and social innovation including healthcare, better outcomes for disadvantaged and vulnerable groups, resilient urban, rural and regional communities, and increasing our capacity to respond to climate change. Read moreRead less
Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data ar ....Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data are needed. This project will design, implement and evaluate visualisation methods for massive multivariate network data sets. This research is expected to be used by Australian software development, biotechnology and security companies to exploit their data.Read moreRead less